Laimburg Research Centre, Laimburg 6, Pfatten (Vadena), IT-39040 Auer (Ora), South Tyrol, Italy; Eurac Research, Drususallee 1/Viale Druso 1, IT-39100 Bozen (Bolzano), South Tyrol, Italy.
Laimburg Research Centre, Laimburg 6, Pfatten (Vadena), IT-39040 Auer (Ora), South Tyrol, Italy; Faculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano, Universitätsplatz 1/Piazza Università 1, IT-39100 Bozen (Bolzano), South Tyrol, Italy.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Dec 15;303:123246. doi: 10.1016/j.saa.2023.123246. Epub 2023 Aug 8.
'Candidatus Phytoplasma mali' is the bacterial agent associated with Apple Proliferation, a disease that causes high economic losses in affected commercial apple growing regions. The identification of the disease is carried out by visual inspection performed by skilled professionals in the orchards. To confirm an infection, costly molecular laboratory methods must be applied. Furthermore, both methods are very time-consuming. Here, we analysed the potential of a non-destructive method using in-field measurements to differentiate infected from non-infected apple trees (Malus domestica) based on spectral signatures of fresh leaves. By using multivariate statistics, we were able to distinguish infected from non-infected trees and identified the wavelengths relevant for the differentiation. Factors affecting the differentiation performance were the sampling date and bacterial colonization behaviour.
“苹果韧皮部丛枝菌”是与苹果增生病相关的细菌病原体，这种疾病会导致受感染的商业性苹果种植区遭受严重的经济损失。该疾病的鉴定是由果园中熟练的专业人员进行目视检查来完成的。为了确认感染，必须采用昂贵的分子实验室方法。此外，这两种方法都非常耗时。在这里，我们分析了一种使用现场测量的非破坏性方法的潜力，该方法基于新鲜叶片的光谱特征，可区分感染和未感染的苹果树（Malus domestica）。通过使用多元统计，我们能够区分感染和未感染的树木，并确定了用于区分的相关波长。影响区分性能的因素是采样日期和细菌定殖行为。
